<div class="outline-2" id="outline-container-org439e2e1"><h2 id="org439e2e1"><strong>Position</strong></h2><div class="outline-text-2" id="text-org439e2e1"><p>We seek an enthusiastic, creative, strongly motivated researcher to join our computational biology group in Montpellier, France. Our group is heading a multidisciplinary consortium on the regulation of gene expression at the transcriptional and translational levels (consortium called Gene Expression Modelling or simply <a href="http://www.lirmm.fr/numev/index.php/projets/scientifics-areas/flagship-…;).</p><p><b>Keywords</b> : bioinformatics, translatome, <a href="https://en.wikipedia.org/wiki/Epitranscriptome">epitranscritome</a&gt;, Next Generation Sequencing (NGS), <a href="https://en.wikipedia.org/wiki/Ribosome_profiling">ribosome profiling</a>, algorithm, script, pipeline</p></div><div class="outline-3" id="outline-container-orge9a90bb"><h3 id="orge9a90bb"><strong>Context</strong></h3><div class="outline-text-3" id="text-orge9a90bb"><p>For long, translation of messenger RNAs into protein was thought to be a uniform, constant mechanism that had almost no impact on gene expression level. However, we know now that the translation machinery acts as a regulator of gene expression by preferentially selecting some mRNAs for translation, by translating more efficiently some mRNAs more than others, etc. To estimate this effect on the expression level of a gene, one computes the translational efficiency by comparing the Ribo-seq versus the RNA-seq profile of that mRNA. Analysing ribosome profiling data can also indicates how ribosomes process an mRNA during translation, where they start, pause, accelerate or stop. This raises the question of modelling translation using various approaches including statistical physics. By analysing Ribosome profiling data from various experiments, we wish to discover the whole set of translated RNAs, including small ORFs, and to unravel the mechanisms of translational regulation.</p></div></div><div class="outline-3" id="outline-container-orga5ff356"><h3 id="orga5ff356"><strong>Mission</strong></h3><div class="outline-text-3" id="text-orga5ff356"><p>The postdoc will be a key participant in the work-package on translation. There we investigate the regulation by the translation machinery in human through deep sequencing approach. Especially, in collaboration with a biology lab (Inst. of Functional Genomics, <a href="https://www.igf.cnrs.fr/index.php/en/">IGF</a&gt;), we perform and analyse Ribosome profiling (Ribo-seq) and epitranscritome sequencing, as well as classical RNA-seq. The postdoc will be in charge of analysing incoming deep-sequencing data and developing new tools for mining, analysing them.</p></div></div><div class="outline-3" id="outline-container-org43bc97e"><h3 id="org43bc97e"><strong>Skills</strong></h3><div class="outline-text-3" id="text-org43bc97e"><ol class="org-ol"><li>Advanced Python programming</li><li>Knowledge in Next Generation Sequencing analysis (pipelines)</li><li>Good communication skills (both oral and written) in English;</li><li>Team player with a collaborative spirit, open to multidisciplinary exchanges</li><li>Programming languages such as C++ or Java;</li></ol></div></div><div class="outline-2" id="outline-container-org4203245"><h2 id="org4203245"><strong>Practical information</strong></h2><div class="outline-text-2" id="text-org4203245"><ul class="org-ul"><li>Duration: 18 months (possible extension)</li><li>Start: asap</li><li>Location: Montpellier, south of France, near Mediterranean sea</li><li>Laboratory: Method and Algorithms for Bioinformatics</li><li>Contact: Eric RIVALS, rivals@lirmm.fr</li><li>Web-page: <a href="http://www.lirmm.fr/~rivals/">http://www.lirmm.fr/~rivals/</a></li></ul… class="outline-3" id="outline-container-org19dccf4"><h3 id="org19dccf4"><strong>Salary and benefits</strong></h3><div class="outline-text-3" id="text-org19dccf4"><ul class="org-ul"><li>Circa : 2100 euros per month (depending on experience)</li><li>Social benefits are included in the contract</li><li>Health and social security</li><li>Advantages linked to University</li></ul></div></div><div class="outline-3" id="outline-container-orgb9f5089"><h3 id="orgb9f5089"><strong>Links</strong></h3><div class="outline-text-3" id="text-orgb9f5089"><ul class="org-ul"><li>Our computational biology group, called <a href="http://www.lirmm.fr/lirmm_eng/research/teams/mab">MAB</a&gt;, belongs to the <a href="http://www.lirmm.fr/lirmm_eng">LIRMM</a&gt; entity</li><li>Institute of Functional Genomics, <a href="https://www.igf.cnrs.fr/index.php/en/">IGF</a></li><li>Physics Institute: <a href="https://www.coulomb.univ-montp2.fr/-Equipe-Systemes-Complexes-et-?lang=en">Charles Coulomb Lab</a></li><li>Flagship project <a href="http://www.lirmm.fr/numev/index.php/projets/scientifics-areas/flagship-…; consortium</li><li>Funding body: <a href="http://www.lirmm.fr/numev/">Labex Numev</a></li><li>Employer: <a href="https://www.umontpellier.fr/university-of-montpellier">Université de Montpellier</a></li><li>Information about <a href="https://www.epigenmed.fr/index.php/live-in-montpellier">Life in Montpellier</a></li><li>Trustee: <a href="http://www.cnrs.fr/index.html">CNRS</a&gt; (National Centre for Scientific Research)</li></ul></div></div><div class="outline-3" id="outline-container-org13455f0"><h3 id="org13455f0"><strong>To Apply:</strong></h3><div class="outline-text-3" id="text-org13455f0"><p>Please send us cover letter, curriculum vitae, bibliography, and contact addresses of reference persons for recommendation.</p></div></div></div></div><p>&nbsp;</p><br/>
Laboratoire: Computer Science Lab (LIRMM)